Sophia L Holmqvist, Katie Jobson, Dennis Desalme, Stephanie M Simone, Molly Tassoni, Moira McKniff, Takehiko Yamaguchi, Ingrid Olson, Nadine Martin, Tania Giovannetti
{"title":"初步验证虚拟厨房挑战是衡量与脑血管疾病相关的日常功能的客观而灵敏的方法。","authors":"Sophia L Holmqvist, Katie Jobson, Dennis Desalme, Stephanie M Simone, Molly Tassoni, Moira McKniff, Takehiko Yamaguchi, Ingrid Olson, Nadine Martin, Tania Giovannetti","doi":"10.1002/dad2.12547","DOIUrl":null,"url":null,"abstract":"<p><p>Preliminary validity of a computer-based test of everyday function (Virtual Kitchen Challenge [VKC]) was examined against brain-imaging markers of cerebrovascular disease and in contrast to conventional neuropsychological and self-report measures. Twenty community-dwelling older adults (<i>n</i> = 6 mild cognitive impairment) performed simulated breakfast and lunch tasks using a computer touchscreen (VKC). Automated measures (completion time, proportion time off screen, etc.) were computed during training and test conditions. White matter hyperintensity (WMH) volumes from brain magnetic resonance imaging and conventional measures of cognition and function also were obtained. VKC completion time and proportion time off screen improved significantly from training to test and were significantly associated with WMH volume (<i>r</i> > 0.573). VKC measures and WMH were not significantly correlated with conventional cognitive or self-report measures. The VKC holds promise as a valid measure of subtle functional difficulties in older adults that is sensitive to change and cerebrovascular pathology, highlighting its potential for clinical trials.</p><p><strong>Highlights: </strong>Virtual Kitchen Challenge (VKC) scores showed significant improvement from training to test conditions.VKC scores (completion time and proportion of time off screen) were associated with a neuroimaging biomarker of brain health (white matter hyperintensities).</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"16 1","pages":"e12547"},"PeriodicalIF":4.0000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10840367/pdf/","citationCount":"0","resultStr":"{\"title\":\"Preliminary validation of the Virtual Kitchen Challenge as an objective and sensitive measure of everyday function associated with cerebrovascular disease.\",\"authors\":\"Sophia L Holmqvist, Katie Jobson, Dennis Desalme, Stephanie M Simone, Molly Tassoni, Moira McKniff, Takehiko Yamaguchi, Ingrid Olson, Nadine Martin, Tania Giovannetti\",\"doi\":\"10.1002/dad2.12547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Preliminary validity of a computer-based test of everyday function (Virtual Kitchen Challenge [VKC]) was examined against brain-imaging markers of cerebrovascular disease and in contrast to conventional neuropsychological and self-report measures. Twenty community-dwelling older adults (<i>n</i> = 6 mild cognitive impairment) performed simulated breakfast and lunch tasks using a computer touchscreen (VKC). Automated measures (completion time, proportion time off screen, etc.) were computed during training and test conditions. White matter hyperintensity (WMH) volumes from brain magnetic resonance imaging and conventional measures of cognition and function also were obtained. VKC completion time and proportion time off screen improved significantly from training to test and were significantly associated with WMH volume (<i>r</i> > 0.573). VKC measures and WMH were not significantly correlated with conventional cognitive or self-report measures. The VKC holds promise as a valid measure of subtle functional difficulties in older adults that is sensitive to change and cerebrovascular pathology, highlighting its potential for clinical trials.</p><p><strong>Highlights: </strong>Virtual Kitchen Challenge (VKC) scores showed significant improvement from training to test conditions.VKC scores (completion time and proportion of time off screen) were associated with a neuroimaging biomarker of brain health (white matter hyperintensities).</p>\",\"PeriodicalId\":53226,\"journal\":{\"name\":\"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring\",\"volume\":\"16 1\",\"pages\":\"e12547\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10840367/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/dad2.12547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/dad2.12547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Preliminary validation of the Virtual Kitchen Challenge as an objective and sensitive measure of everyday function associated with cerebrovascular disease.
Preliminary validity of a computer-based test of everyday function (Virtual Kitchen Challenge [VKC]) was examined against brain-imaging markers of cerebrovascular disease and in contrast to conventional neuropsychological and self-report measures. Twenty community-dwelling older adults (n = 6 mild cognitive impairment) performed simulated breakfast and lunch tasks using a computer touchscreen (VKC). Automated measures (completion time, proportion time off screen, etc.) were computed during training and test conditions. White matter hyperintensity (WMH) volumes from brain magnetic resonance imaging and conventional measures of cognition and function also were obtained. VKC completion time and proportion time off screen improved significantly from training to test and were significantly associated with WMH volume (r > 0.573). VKC measures and WMH were not significantly correlated with conventional cognitive or self-report measures. The VKC holds promise as a valid measure of subtle functional difficulties in older adults that is sensitive to change and cerebrovascular pathology, highlighting its potential for clinical trials.
Highlights: Virtual Kitchen Challenge (VKC) scores showed significant improvement from training to test conditions.VKC scores (completion time and proportion of time off screen) were associated with a neuroimaging biomarker of brain health (white matter hyperintensities).
期刊介绍:
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.